AI Associate Ethical AI and Data Privacy Practice Question
A company uses Einstein Discovery to build a model that predicts customer lifetime value. They want to ensure the model's decisions are auditable and that they can track the business impact of AI recommendations over time. What should they implement?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Audit trail
An audit trail logs when AI recommendations are made and whether they were followed, and can be used to track outcomes over time. This enables accountability and measurement of AI impact, supporting transparency and governance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Score factors
Why it's wrong here
Score factors explain individual predictions but do not log actions or track impact over time.
- ✗
Grounding
Why it's wrong here
Grounding ensures AI uses relevant CRM data, but does not provide logging or impact tracking.
- ✗
Toxicity detection
Why it's wrong here
Toxicity detection is unrelated to auditability of business outcomes.
- ✓
Audit trail
Why this is correct
An audit trail records when recommendations are made and acted upon, enabling analysis of AI impact on business outcomes over time.
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